This is the second module in the Solar Dynamic Observatory (SDO) Project Suite curriculum. Each activity is self-directed by students or student teams and uses online videos, data from the SDO satellite and hands-on activities to explore, research...(View More) and build knowledge about how and why studying the Sun's electromagnetic energy and magnetic fields help scientists better understand the Sun's activity and space weather. Students build knowledge and vocabulary, apply or demonstrate learning through real world connections and create resources to use in investigations. Both a teacher and student guide is included with sequential instructions and embedded links to the needed videos, tutorials and internet resources. In Activity 2A: The Sun and the EM Spectrum students learn how SDO uses key parts of the Sun's electromagnetic spectrum (EMS) to research regions of the Sun, create an interactive foldable to describe the different wavebands of the EMS, then use real-time SDO image data and the Helioviewer online tool to explore the Sun's regional activity. Tutorials for using Helioviewer and making the EMS foldable are included. Activity 2B: Solar activity and Magnetism has students use information in online videos and slide presentations to demonstrate concepts of magnetism and the relationship between the Sun's variable magnetic fields and sunspots. Activity 3B: Solar Research in Action! Build a Spectroscope has students create a spectroscope to observe the different wavebands of visible light, demonstrate how the Sun emits varying EMS energies, and explain how this information helps scientists understand the composition and activity of both our nearest star, and other stars in the universe. A computer for student-teams and a connection to the Internet are needed to complete this module.(View Less)

This is the third module in the Solar Dynamic Observatory (SDO) Project Suite curriculum. Each activity is self-directed by students or student teams and utilizes online videos, data from the SDO satellite and hands-on activities to explore,...(View More) research and build knowledge about how the Sun's varying activity impacts Earth and space weather. Each activity provides opportunities to build knowledge and vocabulary, apply or demonstrate learning through real world connections and create resources to use in investigations. Both a teacher and student guide are included with sequential instructions and embedded links to the needed videos, tutorials and internet resources. In Activity 3A: Sun-Earth Interactions, students gather information from online videos and create a 3D model to demonstrate the relationship to Earth's place in space and the affect of Earth's axial tilt on our seasons, then film a short video explaining the reasons for the seasons. Activity 3B: Space Weather, students use online videos to gather information on what space weather is, and its causes and effects, to create a concept map. They then use real-time real-time SDO data to forecast space weather. Activity 3C: Solar Research in Action! Make a Magnetometer has students view information in online videos about to Earth's magnetosphere and the impacts of space weather, then create a magnetometer to detect and visualize changes in the Earth's magnetic fields to monitor solar storm impacts. A computer for student-teams and access to the internet are needed for this module.(View Less)

This set of three videos illustrates how math is used in satellite data analysis. The videos feature NASA senior climate scientist Claire Parkinson. Parkinson explains how the Arctic and Antarctic sea ice covers are measured from satellite data and...(View More) how math is used to determine trends in the data. In the first video, she leads viewers from satellite data collection through obtaining a time series of monthly average sea ice extents for November 1978 – December 2012, for the Arctic and Antarctic. In the second video, she begins with the time series from the first video, removes the seasonal cycle by calculating yearly averages, and proceeds to calculate the slopes of the lines to get trends in the data, revealing decreasing sea ice coverage in the Arctic and increasing sea ice coverage in the Antarctic. In the third video, she uses a more advanced technique to remove the seasonal cycle and shows that the trends are close to the same, whichever method is used. She emphasizes the power of math and that the techniques shown for satellite sea ice data can also be applied to a wide range of data sets.(View Less)

This self-paced tutorial explores the importance of engineering solutions to the management of climate change by brainstorming ways to remove CO² from the atmosphere and store it in a form that does not promote global warming. The module also...(View More) provides resources for students to learn about engineering careers related to climate change. Learners compare the design process used in engineering projects with the scientific process, and explore elements of the engineering design process through global climate change. Multimedia educational resources including video clips are included. This is the ninth of 10 self-paced professional development modules providing opportunities for teachers to learn about climate change through first-hand data exploration.(View Less)

This chapter describes how to set a scale and measure distances and areas on satellite images. Using ImageJ, a freely available image analysis program that runs on most operating systems, users set the spatial calibration of an image, then select...(View More) and measure distances and areas on it. The measurement results are reported in real-world units. The technique is most useful and accurate for nadir view (straight down) images. In this chapter, users examine satellite images of the Aral Sea, which has shrunk dramatically since 1960 because the rivers that flow into it have been tapped for irrigation. Users access satellite images of the region, then set a scale and measure the width of the sea each year. On another set of images, they highlight areas that represent water and measure them to see how these areas of the sea changed. This chapter is part of the Earth Exploration Toolbook, which provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page.(View Less)

This chapter describes the technique of preparing GIS-ready data and shows how to map that data and conduct basic analyses using a geographic information system (GIS). First, the user will download and format near real-time and historical earthquake...(View More) data from the USGS. Using latitude and longitude fields, they will then plot these data in a GIS. Next, they will analyze patterns by querying records and overlaying datasets. Finally, they will examine earthquake distributions, monitor current earthquake activity, and try to predict where the next big earthquake will occur on Earth. Includes teaching notes, step-by-step instructions, case study, tools and data, and going further. This chapter is part of the Earth Exploration Toolbook, which provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page.(View Less)

This chapter walks users through a technique for documenting change in before-and-after sets of satellite images. The technique can be used for any set of time-series images that are spatially registered to show the exact same area at the same...(View More) scale. In the chapter, users examine three Landsat images of the Pearl River delta in southeastern China. In these images, users observe changes in land use, then identify and outline areas of new land that were created by dredging sediments from the river bottom. The final product is an annotated image that highlights new land and indicates when it was created. The chapter is part of the Earth Exploration Toolbook, which provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page.(View Less)

In this activity, users download and graph modeled climate data to explore variability in climate change. Most people know that climate changes are predicted over the next hundred years, but they may not be aware that these changes are likely to...(View More) vary from region to region. Using data from the University of New Hampshire's EOS-WEBSTER, a digital library of Earth Science data, users will obtain annual predictions for minimum temperature, maximum temperature, precipitation, and solar radiation for each of these 5 states: New York, Georgia, Colorado, Minnesota, and California. Data will span the years 2000 through 2100. Users will import the data into Excel and analyze it to see what, if any, regional variability exists. Finally, they will download data for their own state, compare these results with the results from the other 5 states and use their results to answer questions related to climate change. This chapter is part of the Earth Exploration Toolbook (EET). Each EET chapter provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page.(View Less)

This activity's storyline is built around the real-life case study of Dr. Walt Meier, a Sea Ice Scientist from Boulder, Colorado. In the fictional story, the students of Churchill become concerned about wildlife in their region because polar bears...(View More) have become a nuisance in the town. According to the local elders, the sea ice patterns have changed. The students turn to Dr. Meier for his expertise in sea ice analysis. Dr. Meier then instructs the students in the use of ImageJ and guides them through the research process. This chapter is part of the Earth Exploration Toolbook (EET). Each EET chapter provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page.(View Less)

In this chapter, students will explore relationships between air quality and population density using the image visualization tool, Google Earth. You will learn how to download NO2 data and analyze them to develop a conceptual understanding of how...(View More) population and topography can influence the air quality of a region. Once you have learned the techniques, you are encouraged to explore seasonal changes in nitrogen dioxide concentrations at other locations. This chapter is part of the Earth Exploration Toolbook (EET). Each EET chapter provides teachers and/or students with direct practice for using scientific tools to analyze Earth science data. Students should begin on the Case Study page.(View Less)